Scaling GenAI projects with confidence

The Retrieval-Augmented Generation (R.A.G.) design pattern provides fine-grained control over the search and retrieval of internal information, ensuring the LLM functions solely as an interface layer. This minimizes unnecessary exposure of sensitive data while maximizing precision in responses.

Select the most suitable LLM based on specific use cases, cost-per-transaction constraints, and the contextual depth required, ensuring an optimal balance between performance and efficiency.

Enhance GenAI's healthcare relevance by embedding domain-specific knowledge from healthcare ontologies, internal dictionaries, terminologies, and other knowledge bases, ensuring outputs aligned with industry standards and organizational expertise.